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Logo Finding nonlinear and stochastic structures in time series 1

by Dante - October 29, 2008, 11:14:44 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6112 views, 1210 downloads, 2 subscriptions

About: The Delay vector variance (DVV) method uses predictability of the signal in phase space to characterize the time series. Using the surrogate data methodology, so called DVV plots and DVV scatter [...]

Changes:

Initial Announcement on mloss.org.


Logo Learning the Kernel Matrix 1

by chap - January 14, 2008, 08:50:37 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6086 views, 1325 downloads, 1 subscription

About: Code for automatically selecting the kernel parameters of an SVM. It is based on a gradient descent minimization of either the radius/margin bound, the leave-one-out error, a validation error or the [...]

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Initial Announcement on mloss.org.


Logo bob 1.2.2

by anjos - October 28, 2013, 14:37:36 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5938 views, 1294 downloads, 1 subscription

About: Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.

Changes:

Bob 1.2.0 comes about 1 year after we released Bob 1.0.0. This new release comes with a big set of new features and lots of changes under the hood to make your experiments run even smoother. Some statistics:

Diff URL: https://github.com/idiap/bob/compare/v1.1.4...HEAD Commits: 629 Files changed: 954 Contributors: 7

Here is a quick list of things you should pay attention for while integrating your satellite packages against Bob 1.2.x:

  • The LBP module had its API changed look at the online docs for more details
  • LLRTrainer has been renamed to CGLogRegTrainer
  • The order in which you pass data to CGLogRegTrainer has been inverted (negatives now go first)
  • For C++ bindings, includes are in bob/python instead of bob/core/python
  • All specialized Bob exceptions are gone, if you were catching them, most have been cast into std::runtime_error's

For a detailed list of changes and additions, please look at our Changelog page for this release and minor updates:

https://github.com/idiap/bob/wiki/Changelog-from-1.1.4-to-1.2 https://github.com/idiap/bob/wiki/Changelog-from-1.2.0-to-1.2.1 https://github.com/idiap/bob/wiki/Changelog-from-1.2.1-to-1.2.2


Logo Ngram Statistics Package 1.09

by tpederse - August 12, 2008, 18:21:52 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5936 views, 1284 downloads, 0 comments, 1 subscription

About: The Ngram Statistics Package is a suite of Perl modules that identifies significant multi-word units (collocations) in written text using many different tests of association. NSP allows a user to [...]

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Initial Announcement on mloss.org.


Logo Torch 3

by bengio - November 13, 2007, 01:38:29 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5926 views, 1584 downloads, 1 subscription

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About: Torch is a statistical machine learning library written in C++ at IDIAP,

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Initial Announcement on mloss.org.


Logo BMRM 2.1

by chteo - May 8, 2009, 08:08:20 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5915 views, 1149 downloads, 1 subscription

About: BMRM is an open source, modular and scalable convex solver for many machine learning problems cast in the form of regularized risk minimization problem.

Changes:

Initial Announcement on mloss.org.


Logo LSTM for biological sequence analysis 1.0

by mhex - July 28, 2010, 16:32:29 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5857 views, 1391 downloads, 1 subscription

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About: Implementation of LSTM for biological sequence analysis (classification, regression, motif discovery, remote homology detection). Additionally a LSTM as logistic regression with spectrum kernel is included.

Changes:

Spectrum LSTM package included


Logo mSplicer 0.3

by sonne - May 18, 2008, 13:07:40 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5843 views, 1218 downloads, 3 subscriptions

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About: For modern biology, precise genome annotations are of prime importance as they allow the accurate definition of genic regions. We employ state of the art machine learning methods to assay and [...]

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Initial Announcement on mloss.org.


Logo Sleipnir 1.0

by chuttenh - June 30, 2008, 03:22:19 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5838 views, 1299 downloads, 1 subscription

About: The Sleipnir C++ library implements a variety of machine learning and data manipulation algorithms focusing on heterogeneous data integration and efficiency for large biological data collections.

Changes:

Initial Announcement on mloss.org.


Logo GibbsLDA 0.2

by pxhieu - May 9, 2008, 22:18:52 CET [ Project Homepage BibTeX Download ] 5819 views, 2576 downloads, 1 subscription

About: GibbsLDA++: A C/C++ Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for parameter estimation and inference. GibbsLDA++ is fast and is designed to analyze hidden/latent topic [...]

Changes:

Initial Announcement on mloss.org.


Showing Items 191-200 of 561 on page 20 of 57: First Previous 15 16 17 18 19 20 21 22 23 24 25 Next Last